Single cell 3' RNA sequencing of 23 Korean colorectal cancer patients

For the understanding intrinsic cancer cell signatures and the surrounding microenviroment, we provide single-cell 3' RNA sequencing dataon 63,689 cells from 23 CRC patients with 23 primary colorectal cancer and 10 matched normal mucosa samples. Analysis of primary colorectal cancer and normal mucosa samples depicts a comprehensive cellular landscape of colorectal cancer and potential cellular interaction, which would be a valuable resource for the development of therapeutic strategies. Single-cell 3' mRNA sequencing data were obtained from 23 patients in 23 primary colorectal cancer and 10 matched normal mucosa. To remove low-quality cells, we applied filtering criteria using nUMI, nGene and percent of mitochondrial genes. 67,296 cells have passed the criteria. To eliminate cells of an ambiguous identity, we combined the Seurat multiCCA and RCA pipelines for initial clustering and cell type identification, and removed discordant cells from 2 methods. After defining the global cell type, cells with a number of genes exceeding the outliers were removed to eliminate potential doublets. 63,689 cells have passed the final criteria. **Raw data not provided due to patient privacy concerns**